AWS hosted closed-door in-person AWS Startup ML Roundtables across Bengaluru, Delhi, and Mumbai. The participants included a curated group of ~20 startup founders, CTOs, CEOs, and heads of Data Science. The overarching theme of the ML roundtables was ‘Scaling as an AI-first Startup’.
Enable thought leadership across topics such as technical (MLOps, data-sets, models), strategic (GTM vs. PMF, SaaSification) and team/hiring (hiring data science and engineering talent)
Create a close-knit community amongst ML founders, CTOs and Data Science Leaders
Provide for a safe place for technology, engineering, and data science leaders to share best practices, challenges, and learn from each other
MLOps
Scaling ML and customization; End-to-end ML workflows; Data annotation and labelling; Time taken to deploy in production; ML on the Edge
Data democratization
Synthetic data; Which data sets to use; Data centric AI vs. Model centric AI
Balancing b/w PMF vs. GTM
Product-first or research-first approach; Balancing b/w raising money vs. building a product?
Optimizing ML infra
Unit economics for training and inferencing; GPU vs CPUs
Vertical AI/ML use-cases
Personalisation; Content Moderation; Insurance / Fintech; Fraud Detection Using ML
Hiring ML and DS talent
Solving for diversity within this ecosystem; Hiring senior execs vs. grooming interns/founding team
